SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 8676–8700 of 14297 papers

TitleStatusHype
``Caption'' as a Coherence Relation: Evidence and Implications—0
Natural Language Commanding via Program Synthesis—0
Efficient Optimization for Rank-based Loss Functions—0
CAPTAIN: Comprehensive Composition Assistance for Photo Taking—0
Efficient Optimization for Average Precision SVM—0
Efficient On-the-fly Category Retrieval using ConvNets and GPUs—0
Applying Core Scientific Concepts to Context-Based Citation Recommendation—0
Efficient Online Relative Comparison Kernel Learning—0
CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
Efficient Neural Query Auto Completion—0
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training—0
Applying BERT to Document Retrieval with Birch—0
Natural Language Descriptions for Human Activities in Video Streams—0
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition—0
Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model—0
Applications of Natural Language Processing in Clinical Research and Practice—0
A Formal Account of Effectiveness Evaluation and Ranking Fusion—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification—0
Efficient Media Retrieval from Non-Cooperative Queries—0
Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Network—0
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions—0
Efficient Match Pair Retrieval for Large-scale UAV Images via Graph Indexed Global Descriptor—0
Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified